Earlier quoted context omitted.
> No one longed for a level of AI where you have to double check everything. This has basically been why it's a non-starter in a lot of (most?) business applications. If your dishwasher failed to clean anything 20% of the time, would you rely on it? No, you'd just wash the dishes by hand, because you'd at least have a consistent result. That's been the result of AI experimentation I've seen: it works ~80% of the time…
One type of question that a 20%-failure-rate AI can still be very useful for is ones that are hard to answer but easy to verify. For example say you have a complex medical problem. It can be difficult to do a direct Internet search that covers the history and symptoms. If you ask AI though, it'll be able to give you some ideas for specific things to search. They might be wrong answers, but now you can easily search s…
Or you go to a doctor instead of imagining answers.